CIR is an interdisciplinary research lab bringing together scientists in machine learning, imaging, medicine, and biology, developing novel methods to understand disease and to improve precision care.
CIR is a division of the Department of Biomedical Imaging and Image-guided Therapy at the Medical University of Vienna. We are curious about how machine learning has to evolve to make an impact in healthcare. We believe that it has to support treatment decisions, but also needs to advance our understanding of the underlying mechanisms, as in the future it will gain a role in the development of novel treatment strategies.
CIR is home to a diverse group of international researcher and three PIs leading their research groups in different areas of machine learning, medical imaging and precision medicine. It is closely linked to many clinical disciplines including radiology, oncology, surgery, paediatrics, pathology and neuroscience. We develop methods to predict disease course and treatment response in breast-, and lung cancer, identify novel treatment targets, or model the reorganization of the brain during disease. We are working with all kinds of imaging incuding radiology, nuclear medicine, pathology, ultrasound, or microscopy data. Sometimes, we perform basic research exploring early brain development, or the evolution of the human brain over the last 77 million years. Lately, we are linking machine learning and simulation in liver disease to bridge the gap between large-scale observations, and mechanistic understanding of disease, and are looking to integrate continually collected fitness tracker data with clinical imaging.
Spin-off companies of our members are developing software for clinical radiology, and accurate large-scale clinical annotation campaigns.
